Tag: computer vision
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Hi-MoE: Two-Stage Optimization for Efficient MoE Models
Discover Hi-MoE's two-stage optimization enhancing load balancing and expert specialization for superior performance in NLP and vision tasks.
Normalization Equivariance for Robust Image Denoising
Discover how normalization equivariance improves image denoising robustness across backbones without extra GPU cost using the WNE wrapper.
Efficient Culprit Identification with MobileNet & Attention
Discover how MobileNet combined with attention mechanisms boosts culprit identification accuracy to 97.8% with real-time efficiency.
Grounded Correspondence: Enhancing Temporal Consistency in Video Learning
Discover how Grounded Correspondence improves temporal consistency in video object-centric learning using deterministic matching without prediction models.
BalCapRL: Balanced RL Framework for MLLM Image Captioning
Discover BalCapRL, a balanced RL-based framework enhancing MLLM image captioning with improved accuracy, fluency, and utility across models.