bardisafa / PreSelLinks
[CVPR 2025] An Implementation of the paper "Pre-Instruction Data Selection for Visual Instruction Tuning"
☆17Updated 8 months ago
Alternatives and similar repositories for PreSel
Users that are interested in PreSel are comparing it to the libraries listed below
Sorting:
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆46Updated last year
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 11 months ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆70Updated 4 months ago
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆60Updated last year
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆39Updated last year
- ☆22Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆85Updated last year
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆60Updated 10 months ago
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆80Updated 8 months ago
- [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding☆55Updated 10 months ago
- ☆64Updated 4 months ago
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆78Updated 2 years ago
- [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.☆98Updated 3 months ago
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆96Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆109Updated 2 years ago
- CLIP-MoE: Mixture of Experts for CLIP☆55Updated last year
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆110Updated last year
- ☆26Updated 6 months ago
- Dataset pruning for ImageNet and LAION-2B.☆79Updated last year
- Augmenting with Language-guided Image Augmentation (ALIA)☆80Updated 2 years ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆134Updated 4 months ago
- Code for ICLR 2025 Paper: Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs☆22Updated 9 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆56Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆72Updated 9 months ago
- We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…☆20Updated 3 weeks ago
- [ICLR 2025] - Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion☆60Updated 2 months ago
- ☆23Updated 9 months ago
- [ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models☆110Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆61Updated 2 years ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆51Updated last year