Tag: computer vision
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IMSE: Spectral Experts Fine-Tuning for Test-Time Adaptation
Discover IMSE, a novel spectral experts fine-tuning method that boosts test-time adaptation accuracy and reduces parameters significantly.
CamReasoner: Advanced Camera Movement Understanding AI
Discover CamReasoner, an AI framework using structured spatial reasoning and reinforcement learning to enhance camera movement analysis in videos.
Light Field-LiDAR Fusion for Enhanced Semantic Segmentation
Discover how geometry-aware fusion of light field and LiDAR data improves semantic segmentation accuracy for autonomous driving scenarios.
OmniHands: Robust 4D Hand Mesh Recovery with Transformer
Discover OmniHands, a versatile transformer-based method for accurate 4D hand mesh recovery from mono or multi-view inputs with enhanced interaction reason...
Efficient Adversarial Training with Criticality-Aware Fine-Tuning
Discover Criticality-Aware Adversarial Training (CAAT) for efficient, scalable robustness in Vision Transformers with minimal parameter fine-tuning.