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Found 4 papers, 1 papers with code
Attention-based Knowledge Distillation in Multi-attention Tasks: The Impact of a DCT-driven Loss
Feature-based Knowledge Distillation is a subfield of KD that relies on intermediate network representations, either unaltered or depth-reduced via maximum activation maps, as the source knowledge.
A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset
Action recognition is currently one of the top-challenging research fields in computer vision.
Semantic-Aware Scene Recognition
Scene recognition is currently one of the top-challenging research fields in computer vision.
Ranked #1 on
Scene Recognition
on ADE20K
Semantic Driven Multi-Camera Pedestrian Detection
Contrarily to the majority of the methods of the state-of-the-art, the proposed approach is scene-agnostic, not requiring a tailored adaptation to the target scenario\textemdash e. g., via fine-tunning.
