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cs.CV2026
Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning
Tianhao Fu, Austin Wang, Charles Chen +5
Image-token compression must reduce computation without hurting the semantics. We introduce Varest, guided by semantic fungibility: tokens within a coherent semantic region can be…
cs.CV2026
Synthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training
Yucheng Chen
Forward-Forward (FF) learning [Hinton, 2022] replaces backpropagation with strictly layer-local goodness updates. Recent FF-CNN work has narrowed the gap to BP on 32x32 benchmarks,…
cs.CV2026
SortScrews: A Dataset and Baseline for Real-time Screw Classification
Tianhao Fu, Bingxuan Yang, Juncheng Guo +2
Automatic identification of screw types is important for industrial automation, robotics, and inventory management. However, publicly available datasets for screw classification ar…