Zero-shot Image Retrieval

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

17 shown of 17 papers with code (29 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• FLAVA: A Foundational Language And Vision Alignment Model
  8 Dec 2021 4 repositories listed
  State-of-the-art vision and vision-and-language models rely on large-scale visio-linguistic pretraining for obtaining good performance on a variety of downstream tasks.
• InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
  21 Dec 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  However, the progress in vision and vision-language foundation models, which are also critical elements of multi-modal AGI, has not kept pace with LLMs.
• AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
  12 Nov 2022 2 repositories listed Syntology ran 2 of 11 samples · 9 unverified
  In this work, we present a conceptually simple and effective method to train a strong bilingual/multilingual multimodal representation model.
• Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models
  23 Jan 2025 1 repository listed
  Multi-modal models require aligned, shared embedding spaces.
• M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining
  29 Jan 2024 1 repository listed
  Vision-language foundation models like CLIP have revolutionized the field of artificial intelligence.
• Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval
  28 Sep 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Different from Composed Image Retrieval task that requires expensive labels for training task-specific models, Zero-Shot Composed Image Retrieval (ZS-CIR) involves diverse tasks with a broad range of visual content…
• FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing
  27 May 2023 1 repository listed
  Textual scene graph parsing has become increasingly important in various vision-language applications, including image caption evaluation and image retrieval.
• Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
  6 Feb 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Existing methods rely on supervised learning of CIR models using labeled triplets consisting of the query image, text specification, and the target image.
• Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese
  2 Nov 2022 1 repository listed Syntology ran 4 of 7 samples · 3 unverified
  The tremendous success of CLIP (Radford et al., 2021) has promoted the research and application of contrastive learning for vision-language pretraining.
• General Image Descriptors for Open World Image Retrieval using ViT CLIP
  20 Oct 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  The Google Universal Image Embedding (GUIE) Challenge is one of the first competitions in multi-domain image representations in the wild, covering a wide distribution of objects: landmarks, artwork, food, etc.
• ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training
  30 Sep 2022 1 repository listed
  They attempt to learn cross-modal representation using contrastive learning on image-text pairs, however, the built inter-modal correlations only rely on a single view for each modality.
• FETA: Towards Specializing Foundation Models for Expert Task Applications
  8 Sep 2022 1 repository listed
  However, as we show in this paper, FMs still have poor out-of-the-box performance on expert tasks (e.
• Cross-lingual and Multilingual CLIP
  1 Jun 2022 1 repository listed
  The long-standing endeavor of relating the textual and the visual domain recently underwent a pivotal breakthrough, as OpenAI released CLIP.
• CCMB: A Large-scale Chinese Cross-modal Benchmark
  8 May 2022 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  In this work, we build a large-scale high-quality Chinese Cross-Modal Benchmark named CCMB for the research community, which contains the currently largest public pre-training dataset Zero and five human-annotated…
• Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
  14 Feb 2022 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Experiments show that Wukong can serve as a promising Chinese pre-training dataset and benchmark for different cross-modal learning methods.
• Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
  22 Jan 2022 1 repository listed
  For few-shot image classification we train SSL-ViTs without any supervision, on external data, and use this trained embedder to adapt quickly to novel classes with limited number of labels.
• Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
  31 Jan 2021 1 repository listed
  Recently multimodal transformer models have gained popularity because their performance on language and vision tasks suggest they learn rich visual-linguistic representations.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.