A prompt-and-dynamic-filter PEFT design for multi-task dense prediction beats MTLoRA on PASCAL-Context with fewer trainable parameters.
Adaptformer: Adapting vision transformers for scalable visual recogni- tion
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
TADFormer : Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning
A prompt-and-dynamic-filter PEFT design for multi-task dense prediction beats MTLoRA on PASCAL-Context with fewer trainable parameters.