ImageHD delivers up to 40.4x speedup and 383x energy efficiency for on-device continual learning of visual representations by using hyperdimensional computing and bounded exemplar management on an FPGA.
C-clip: Multimodal continual learning for vision-language model,
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cs.CV 2years
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GR4CIL introduces gap-compensated routing to enable reliable task-aware knowledge routing in CLIP-based class incremental learning while preserving zero-shot generalization.
citing papers explorer
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ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing
ImageHD delivers up to 40.4x speedup and 383x energy efficiency for on-device continual learning of visual representations by using hyperdimensional computing and bounded exemplar management on an FPGA.
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GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning
GR4CIL introduces gap-compensated routing to enable reliable task-aware knowledge routing in CLIP-based class incremental learning while preserving zero-shot generalization.