Add causal person fusion and MuVAP stage-3 baselines

This commit is contained in:
Xin Wang
2026-09-10 06:54:22 +08:00
parent 0534c9d3d0
commit d426b4740a
225 changed files with 27716 additions and 119 deletions
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model: 'MiniROADA'
data_name: 'EasyCom_ANTICIPATION'
task: 'ANTICIPATION'
loss: 'ANTICIPATION' # NONUNIFORM, originally
metric: 'AP' # AP or cAP
optimizer: 'AdamW'
device: 'cuda'
feature_pretrained: 'resnet50'
root_path: './data/EasyCom'
rgb_type: 'rgb_kinetics_resnet50'
flow_type: 'audio_wav2vec2'
annotation_type: 'target_perframe'
video_list_path: 'data_info/data_info.json'
output_path: './output_cfg'
window_size: 128
batch_size: 64
test_batch_size: 1
# loss_offset: 4 # loss weight a_t when L - {loss_offset} <= t <= L
num_epoch: 30
lr: 0.0001
weight_decay: 0.05
num_workers: 4
dropout: 0.20
num_classes: 3 # [background, target speaker speaking, other person speaking]
embedding_dim: 2048
hidden_dim: 1024
num_layers: 1
stride: 4
anticipation_length: 10
actionness: False
ignore_index: -100
seed: 20