LAS-CLIP: A Lightweight Adapter Steering Approach for CLIP's Visual Encoder
cs.CV
Submitted: 2026-10-02
Updated: 2026-10-05
Code: https://github.com/AnhKhoa585/lasclip
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
- EVA-CLIP: Improved Training Techniques for CLIP at Scale
- YOLOE: Real-Time Seeing Anything
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models