A unified continual learning framework with general parameter-efficient tuning
The" pre-training-downstream adaptation" presents both new opportunities and challenges
for Continual Learning (CL). Although the recent state-of-the-art in CL is achieved through …
for Continual Learning (CL). Although the recent state-of-the-art in CL is achieved through …
Coherent Temporal Synthesis for Incremental Action Segmentation
Data replay is a successful incremental learning technique for images. It prevents
catastrophic forgetting by keeping a reservoir of previous data original or synthesized to …
catastrophic forgetting by keeping a reservoir of previous data original or synthesized to …
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
Video language continual learning involves continuously adapting to information from video
and text inputs, enhancing a model's ability to handle new tasks while retaining prior …
and text inputs, enhancing a model's ability to handle new tasks while retaining prior …