EviViT: Evidence-Adaptive Vision Transformers for Fine-Grained Perception
cs.CV
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/YXNiu/EviViT
Terminology
Sources
- Qwen3-VL Technical Report
- OPD-V: Visual On-Policy Self-Distillation with Modality Balance
- Token Merging: Your ViT But Faster
- VisRL: Intention-Driven Visual Perception via Reinforced Reasoning
- SIFThinker: Spatially-Aware Image Focus for Visual Reasoning
- 4DThinker: Thinking with 4D Imagery for Dynamic Spatial Understanding
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking
- Self-Prophetic Decoding to Unlock Visual Search in LVLMs
- LoRA: Low-Rank Adaptation of Large Language Models
- OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning
- PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models
- Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
- Vero: An Open RL Recipe for General Visual Reasoning
- Focus-Scan-Refine: From Human Visual Perception to Efficient Visual Token Pruning
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
- Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
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