Archive EasyCom sparse supervision results

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Xin Wang
2026-08-24 12:02:49 +08:00
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# EasyCom: sparse supervision versus Thinker LoRA
Recorded on **2026-08-24** from user-reported remote evaluation tables. These
are single-run diagnostic results, not final multi-seed paper numbers.
## Experiment contract
- Dataset and split: EasyCom with EgoSpeak's official nine training sessions
and test Sessions 3, 2, and 1.
- Prediction rate: 5 Hz; ten future horizons from 0.2 to 2.0 seconds.
- Video sampling: 2 FPS.
- Evaluator: EgoSpeak full-timeline AP/mAP plus strict causal-valid AP/mAP.
- Sparse policy: ordinary anchors at 1 Hz plus 5 Hz anchors around annotated
target transitions.
- Evaluation is dense at every 5 Hz test timestamp.
- Frozen sparse run: previously extracted frozen Thinker states; only the head
is trained for 50 epochs on sparse target indices.
- LoRA three-epoch run: initialized with the trained frozen head, then updated
the Thinker LoRA and head for three epochs.
The remote `metrics.json`, exact checkpoint configuration, git revision, and
feature-root path were not copied into this repository. The context/feature
identity with the frozen 8-second control must therefore be verified before
publication.
## Summary
All values are percentages.
| Experiment | 0.2s full mAP | Full mean mAP | Strict mean mAP |
|---|---:|---:|---:|
| Frozen Thinker dense-cache control | 71.69695 | 58.16091 | 58.17146 |
| Frozen states + sparse supervision, 50 epochs | **71.69194** | **57.20379** | **57.21367** |
| Sparse LoRA epoch 1 | 67.40167 | 56.52480 | 56.53450 |
| Frozen-head initialized LoRA, 3 epochs | **71.08589** | **56.19608** | **56.20535** |
| Sparse LoRA weights-only epoch 2 | 65.55214 | 54.19850 | 54.20711 |
The epoch-2 continuation is archived separately in
[`../easycom_omni_lora_sparse_epoch2_2026-08-24/`](../easycom_omni_lora_sparse_epoch2_2026-08-24/README.md).
## Frozen states with sparse supervision
| Horizon | Full mAP | Strict mAP | Full background AP | Full wearer AP | Full others AP |
|---:|---:|---:|---:|---:|---:|
| 0.2s | 71.69194 | 71.69383 | 54.64681 | 76.09602 | 84.33299 |
| 0.4s | 65.98617 | 65.98941 | 46.86427 | 70.48309 | 80.61116 |
| 0.6s | 61.14072 | 61.14698 | 41.30997 | 64.40092 | 77.71127 |
| 0.8s | 57.39854 | 57.40704 | 37.50173 | 59.07507 | 75.61882 |
| 1.0s | 54.57513 | 54.58522 | 35.47209 | 54.41110 | 73.84220 |
| 1.2s | 53.70320 | 53.71497 | 35.16647 | 52.41903 | 73.52409 |
| 1.4s | 52.74547 | 52.75864 | 34.64200 | 50.53203 | 73.06238 |
| 1.6s | 52.04826 | 52.06226 | 34.36442 | 49.18784 | 72.59253 |
| 1.8s | 51.55154 | 51.56613 | 34.13135 | 48.17972 | 72.34356 |
| 2.0s | 51.19693 | 51.21218 | 33.99937 | 47.47712 | 72.11430 |
| Mean | **57.20379** | **57.21367** | — | — | — |
## Frozen-head initialized LoRA after three epochs
| Horizon | Full mAP | Strict mAP | Full background AP | Full wearer AP | Full others AP |
|---:|---:|---:|---:|---:|---:|
| 0.2s | 71.08589 | 71.08773 | 53.71399 | 75.95995 | 83.58373 |
| 0.4s | 65.20613 | 65.20927 | 46.04420 | 69.65188 | 79.92232 |
| 0.6s | 60.10484 | 60.11088 | 40.44134 | 62.71065 | 77.16253 |
| 0.8s | 56.35250 | 56.36069 | 36.98112 | 56.61255 | 75.46383 |
| 1.0s | 53.48271 | 53.49230 | 35.10974 | 51.63824 | 73.70016 |
| 1.2s | 52.50271 | 52.51364 | 34.83634 | 49.81663 | 72.85516 |
| 1.4s | 51.46987 | 51.48201 | 34.06639 | 48.01675 | 72.32646 |
| 1.6s | 50.91134 | 50.92429 | 34.04663 | 46.85967 | 71.82772 |
| 1.8s | 50.54008 | 50.55369 | 33.82003 | 46.15156 | 71.64864 |
| 2.0s | 50.30475 | 50.31903 | 33.74069 | 45.80527 | 71.36829 |
| Mean | **56.19608** | **56.20535** | — | — | — |
## 0.2-second diagnosis
Sparse supervision alone changes 0.2-second full-timeline mAP by only
`-0.00501` relative to the frozen dense-cache control. The three-epoch LoRA
run changes it by `-0.61106`. The much larger epoch-1 and weights-only epoch-2
regressions show that short-horizon degradation is primarily associated with
updating the Thinker representation, not with dropping ordinary supervision
anchors.
The next required control is a 2-by-2 checkpoint evaluation: frozen Thinker
with frozen head, frozen Thinker with LoRA-trained head, LoRA Thinker with
frozen head, and LoRA Thinker with LoRA-trained head. Select LoRA checkpoints
on a training-session development split using 0.2-second mAP rather than the
official test sessions.
## Provenance
- Source: user-reported remote `infer_turn_head.py` and
`eval_omni_turn_lora.py` console tables.
- Raw remote metrics archived: no.
- Multi-seed: no.
- Publication status: diagnostic only.
@@ -0,0 +1,41 @@
experiment,protocol,horizon_seconds,map,background_ap,camera_wearer_speaking_ap,other_people_speaking_ap,num_steps
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,0.2,71.69194,54.64681,76.09602,84.33299,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,0.4,65.98617,46.86427,70.48309,80.61116,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,0.6,61.14072,41.30997,64.40092,77.71127,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,0.8,57.39854,37.50173,59.07507,75.61882,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,1.0,54.57513,35.47209,54.41110,73.84220,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,1.2,53.70320,35.16647,52.41903,73.52409,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,1.4,52.74547,34.64200,50.53203,73.06238,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,1.6,52.04826,34.36442,49.18784,72.59253,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,1.8,51.55154,34.13135,48.17972,72.34356,23048
frozen_states_sparse_supervision_50_epochs,egospeak_full_timeline,2.0,51.19693,33.99937,47.47712,72.11430,23048
frozen_states_sparse_supervision_50_epochs,causal_valid_only,0.2,71.69383,54.64681,76.09602,84.33868,23045
frozen_states_sparse_supervision_50_epochs,causal_valid_only,0.4,65.98941,46.86427,70.48309,80.62088,23042
frozen_states_sparse_supervision_50_epochs,causal_valid_only,0.6,61.14698,41.30997,64.40704,77.72392,23039
frozen_states_sparse_supervision_50_epochs,causal_valid_only,0.8,57.40704,37.50173,59.08557,75.63383,23036
frozen_states_sparse_supervision_50_epochs,causal_valid_only,1.0,54.58522,35.47209,54.42458,73.85900,23033
frozen_states_sparse_supervision_50_epochs,causal_valid_only,1.2,53.71497,35.16647,52.43571,73.54273,23030
frozen_states_sparse_supervision_50_epochs,causal_valid_only,1.4,52.75864,34.64200,50.55135,73.08256,23027
frozen_states_sparse_supervision_50_epochs,causal_valid_only,1.6,52.06226,34.36659,49.20607,72.61411,23024
frozen_states_sparse_supervision_50_epochs,causal_valid_only,1.8,51.56613,34.13348,48.19712,72.36779,23021
frozen_states_sparse_supervision_50_epochs,causal_valid_only,2.0,51.21218,34.00148,47.49396,72.14111,23018
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,0.2,71.08589,53.71399,75.95995,83.58373,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,0.4,65.20613,46.04420,69.65188,79.92232,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,0.6,60.10484,40.44134,62.71065,77.16253,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,0.8,56.35250,36.98112,56.61255,75.46383,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,1.0,53.48271,35.10974,51.63824,73.70016,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,1.2,52.50271,34.83634,49.81663,72.85516,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,1.4,51.46987,34.06639,48.01675,72.32646,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,1.6,50.91134,34.04663,46.85967,71.82772,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,1.8,50.54008,33.82003,46.15156,71.64864,23048
frozen_head_initialized_lora_3_epochs,egospeak_full_timeline,2.0,50.30475,33.74069,45.80527,71.36829,23048
frozen_head_initialized_lora_3_epochs,causal_valid_only,0.2,71.08773,53.71399,75.95995,83.58924,23045
frozen_head_initialized_lora_3_epochs,causal_valid_only,0.4,65.20927,46.04420,69.65188,79.93173,23042
frozen_head_initialized_lora_3_epochs,causal_valid_only,0.6,60.11088,40.44134,62.71649,77.17481,23039
frozen_head_initialized_lora_3_epochs,causal_valid_only,0.8,56.36069,36.98112,56.62225,75.47870,23036
frozen_head_initialized_lora_3_epochs,causal_valid_only,1.0,53.49230,35.10974,51.65037,73.71680,23033
frozen_head_initialized_lora_3_epochs,causal_valid_only,1.2,52.51364,34.83634,49.83161,72.87296,23030
frozen_head_initialized_lora_3_epochs,causal_valid_only,1.4,51.48201,34.06639,48.03402,72.34561,23027
frozen_head_initialized_lora_3_epochs,causal_valid_only,1.6,50.92429,34.04874,46.87600,71.84812,23024
frozen_head_initialized_lora_3_epochs,causal_valid_only,1.8,50.55369,33.82210,46.16732,71.67164,23021
frozen_head_initialized_lora_3_epochs,causal_valid_only,2.0,50.31903,33.74274,45.82075,71.39361,23018
1 experiment protocol horizon_seconds map background_ap camera_wearer_speaking_ap other_people_speaking_ap num_steps
2 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 0.2 71.69194 54.64681 76.09602 84.33299 23048
3 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 0.4 65.98617 46.86427 70.48309 80.61116 23048
4 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 0.6 61.14072 41.30997 64.40092 77.71127 23048
5 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 0.8 57.39854 37.50173 59.07507 75.61882 23048
6 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 1.0 54.57513 35.47209 54.41110 73.84220 23048
7 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 1.2 53.70320 35.16647 52.41903 73.52409 23048
8 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 1.4 52.74547 34.64200 50.53203 73.06238 23048
9 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 1.6 52.04826 34.36442 49.18784 72.59253 23048
10 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 1.8 51.55154 34.13135 48.17972 72.34356 23048
11 frozen_states_sparse_supervision_50_epochs egospeak_full_timeline 2.0 51.19693 33.99937 47.47712 72.11430 23048
12 frozen_states_sparse_supervision_50_epochs causal_valid_only 0.2 71.69383 54.64681 76.09602 84.33868 23045
13 frozen_states_sparse_supervision_50_epochs causal_valid_only 0.4 65.98941 46.86427 70.48309 80.62088 23042
14 frozen_states_sparse_supervision_50_epochs causal_valid_only 0.6 61.14698 41.30997 64.40704 77.72392 23039
15 frozen_states_sparse_supervision_50_epochs causal_valid_only 0.8 57.40704 37.50173 59.08557 75.63383 23036
16 frozen_states_sparse_supervision_50_epochs causal_valid_only 1.0 54.58522 35.47209 54.42458 73.85900 23033
17 frozen_states_sparse_supervision_50_epochs causal_valid_only 1.2 53.71497 35.16647 52.43571 73.54273 23030
18 frozen_states_sparse_supervision_50_epochs causal_valid_only 1.4 52.75864 34.64200 50.55135 73.08256 23027
19 frozen_states_sparse_supervision_50_epochs causal_valid_only 1.6 52.06226 34.36659 49.20607 72.61411 23024
20 frozen_states_sparse_supervision_50_epochs causal_valid_only 1.8 51.56613 34.13348 48.19712 72.36779 23021
21 frozen_states_sparse_supervision_50_epochs causal_valid_only 2.0 51.21218 34.00148 47.49396 72.14111 23018
22 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 0.2 71.08589 53.71399 75.95995 83.58373 23048
23 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 0.4 65.20613 46.04420 69.65188 79.92232 23048
24 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 0.6 60.10484 40.44134 62.71065 77.16253 23048
25 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 0.8 56.35250 36.98112 56.61255 75.46383 23048
26 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 1.0 53.48271 35.10974 51.63824 73.70016 23048
27 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 1.2 52.50271 34.83634 49.81663 72.85516 23048
28 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 1.4 51.46987 34.06639 48.01675 72.32646 23048
29 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 1.6 50.91134 34.04663 46.85967 71.82772 23048
30 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 1.8 50.54008 33.82003 46.15156 71.64864 23048
31 frozen_head_initialized_lora_3_epochs egospeak_full_timeline 2.0 50.30475 33.74069 45.80527 71.36829 23048
32 frozen_head_initialized_lora_3_epochs causal_valid_only 0.2 71.08773 53.71399 75.95995 83.58924 23045
33 frozen_head_initialized_lora_3_epochs causal_valid_only 0.4 65.20927 46.04420 69.65188 79.93173 23042
34 frozen_head_initialized_lora_3_epochs causal_valid_only 0.6 60.11088 40.44134 62.71649 77.17481 23039
35 frozen_head_initialized_lora_3_epochs causal_valid_only 0.8 56.36069 36.98112 56.62225 75.47870 23036
36 frozen_head_initialized_lora_3_epochs causal_valid_only 1.0 53.49230 35.10974 51.65037 73.71680 23033
37 frozen_head_initialized_lora_3_epochs causal_valid_only 1.2 52.51364 34.83634 49.83161 72.87296 23030
38 frozen_head_initialized_lora_3_epochs causal_valid_only 1.4 51.48201 34.06639 48.03402 72.34561 23027
39 frozen_head_initialized_lora_3_epochs causal_valid_only 1.6 50.92429 34.04874 46.87600 71.84812 23024
40 frozen_head_initialized_lora_3_epochs causal_valid_only 1.8 50.55369 33.82210 46.16732 71.67164 23021
41 frozen_head_initialized_lora_3_epochs causal_valid_only 2.0 50.31903 33.74274 45.82075 71.39361 23018
@@ -0,0 +1,43 @@
{
"schema_version": 1,
"recorded_date": "2026-08-24",
"status": "single_run_diagnostic_snapshot",
"dataset": "EasyCom",
"prediction_step_seconds": 0.2,
"video_fps": 2,
"metrics_percent": {
"frozen_dense_cache_control": {
"full_timeline_horizon_0.2_map": 71.69695,
"full_timeline_mean_map": 58.16091,
"causal_valid_mean_map": 58.17146
},
"frozen_states_sparse_supervision_50_epochs": {
"full_timeline_mean_map": 57.20379,
"causal_valid_mean_map": 57.21367,
"full_timeline_horizon_map": [71.69194, 65.98617, 61.14072, 57.39854, 54.57513, 53.70320, 52.74547, 52.04826, 51.55154, 51.19693],
"causal_valid_horizon_map": [71.69383, 65.98941, 61.14698, 57.40704, 54.58522, 53.71497, 52.75864, 52.06226, 51.56613, 51.21218]
},
"sparse_lora_epoch1": {
"full_timeline_horizon_0.2_map": 67.40167,
"full_timeline_mean_map": 56.52480,
"causal_valid_mean_map": 56.53450
},
"frozen_head_initialized_lora_3_epochs": {
"full_timeline_mean_map": 56.19608,
"causal_valid_mean_map": 56.20535,
"full_timeline_horizon_map": [71.08589, 65.20613, 60.10484, 56.35250, 53.48271, 52.50271, 51.46987, 50.91134, 50.54008, 50.30475],
"causal_valid_horizon_map": [71.08773, 65.20927, 60.11088, 56.36069, 53.49230, 52.51364, 51.48201, 50.92429, 50.55369, 50.31903]
},
"sparse_lora_weights_only_epoch2": {
"full_timeline_horizon_0.2_map": 65.55214,
"full_timeline_mean_map": 54.19850,
"causal_valid_mean_map": 54.20711
}
},
"provenance": {
"source": "User-reported remote console tables",
"raw_metrics_json_archived": false,
"exact_remote_feature_root_archived": false,
"multi_seed": false
}
}