NiccoBiondi / ContrastiveSupervisedDistillationLinks
This repo contains the code of "Contrastive Supervised Distillation for Continual Representation Learning", Tommaso Barletti, Niccolò Biondi, Federico Pernici, Matteo Bruni, and Alberto Del Bimbo, ICIAP2021
☆20Updated 2 years ago
Alternatives and similar repositories for ContrastiveSupervisedDistillation
Users that are interested in ContrastiveSupervisedDistillation are comparing it to the libraries listed below
Sorting:
- [CVPR 2024 Highlight] - Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacement…☆13Updated 8 months ago
- [ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation☆60Updated 7 months ago
- [ICCV 2023] - Composed Image Retrieval on Common Objects in context (CIRCO) dataset☆69Updated 10 months ago
- ☆32Updated 3 weeks ago
- 【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval☆83Updated last year
- The official implementation for Candidate Set Re-ranking for Composed Image Retrieval (TMLR) 01/2024☆19Updated last year
- The official implementation for BLIP4CIR with bi-directional training | Bi-directional Training for Composed Image Retrieval via Text Pro…☆31Updated last year
- Composed Video Retrieval☆58Updated last year
- [ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion☆175Updated last year
- ☆61Updated 2 years ago
- Code and Models for "GeneCIS A Benchmark for General Conditional Image Similarity"☆59Updated 2 years ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆47Updated 3 months ago
- [CVPR 2023] Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation☆62Updated 3 months ago
- ☆37Updated 2 years ago
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆53Updated last year
- ☆26Updated last year
- ☆17Updated 5 months ago
- Code implementation of our paper: On Large Multimodal Models as Open-World Image Classifiers☆18Updated 3 months ago
- ☆41Updated 5 months ago
- Context-I2W: Mapping Images to Context-dependent words for Accurate Zero-Shot Composed Image Retrieval [AAAI 2024 Oral]☆53Updated last month
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆57Updated 2 years ago
- [ICLR 2025] - Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion☆47Updated 2 months ago
- [CVPR 2023] Learning Attention as Disentangler for Compositional Zero-shot Learning☆39Updated last year
- With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning. ICCV 2023☆18Updated last year
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆46Updated last year
- ☆27Updated last year
- [CBMI2024 Best Paper] Official repository of the paper "Is CLIP the main roadblock for fine-grained open-world perception?".☆27Updated last month
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆105Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆40Updated last year