A prompt-and-dynamic-filter PEFT design for multi-task dense prediction beats MTLoRA on PASCAL-Context with fewer trainable parameters.
Mtlora: Low-rank adaptation approach for efficient multi-task learn- ing
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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.