Codesota · Models2,268 models indexed · 896 match filter
Editorial · Models
Models with recorded evidence.
Start with a research area, drill into a vendor, or page through the full index. Vendor aliases and legacy area IDs are grouped here; original model IDs and model links stay unchanged. Only models with at least one benchmark score appear — a model without a recorded score can’t be ranked.
Vendor:Areas overviewSpeakLeash · 263Alibaba · 104Google · 102OpenAI · 86Meta · 68Microsoft · 49Anthropic · 44DeepSeek · 34Mistral · 30mistralai · 19CYFRAGOVPL · 14NVIDIA · 14Zhipu AI · 13internlm · 10xAI · 10ByteDance · 9Baidu · 8ibm-granite · 8PLLuM · 8allenai · 7Amazon · 7MiniMax · 7Mistral AI · 7Remek · 7Shanghai AI Lab · 7utter-project · 7CohereForAI · 6Salesforce · 601-ai · 5Cohere · 5Moonshot AI · 5NousResearch · 5THUML · 5gguf-iq · 4IBM · 4Meituan · 4openchat · 4Stanford · 4THUDM · 4tiiuae · 4UC San Diego · 4VikParuchuri · 4Allen AI · 3BAAI · 3Du et al. · 3ForgeCode · 3Fudan University · 3gguf · 3gguf11bv30 · 3gguf7bv30 · 3IDEA Research · 3Liao et al. · 3Moonshot.AI · 3Nam Tuan Ly / NII · 3OpenDataLab · 3OPI-PG · 3upstage · 3ViCoS Lab Ljubljana · 3Xiaomi · 3Zhao et al. · 3+ 243 smaller vendors (288 models)
§ 01 · Computer Vision models
896 models in Computer Vision · page 10 of 18.
| # | Model | Vendor | Parameters | Architecture | Benchmarks | Results |
|---|---|---|---|---|---|---|
| 451 | Selective Search | Unknown | Unknown | Unknown | 1 | 2 |
| 452 | SEMv3 | IFLYTEK / USTC (Zhang et al.) | Unknown | Keypoint Offset Regression (KOR) module; split-and-merge paradigm for table separation line detection | 1 | 2 |
| 453 | SIGA_S | Unknown | Unknown | Unknown | 2 | 2 |
| 454 | SLANet | Unknown | Unknown | Unknown | 1 | 2 |
| 455 | Span | Unknown | Unknown | Unknown | 1 | 2 |
| 456 | SPECTER | Unknown | Unknown | Unknown | 2 | 2 |
| 457 | SSD300 (VGG-16) | Google / UNC | ~24M | Single-shot multibox detector with VGG-16 backbone, 300x300 input | 1 | 2 |
| 458 | SSD512 (VGG-16) | Google / UNC | ~27M | Single-shot multibox detector with VGG-16 backbone, 512x512 input | 1 | 2 |
| 459 | Start, Follow, Read | Unknown | Unknown | Unknown | 1 | 2 |
| 460 | StrucTexTv2 (small) | Unknown | Unknown | Unknown | 2 | 2 |
| 461 | SwinTextSpotter v2 | Academic | — | Swin Transformer, improved detection-recognition synergy | 1 | 2 |
| 462 | T5-3b(UnifiedSKG) | Unknown | Unknown | Unknown | 1 | 2 |
| 463 | Table-BERT-Horizontal-T+F-Template | Unknown | Unknown | Unknown | 1 | 2 |
| 464 | Table NLM | Unknown | Unknown | Unknown | 1 | 2 |
| 465 | TABLET | Anonymous (arXiv 2025) | Unknown | Dual Transformer encoders; encoder-only architecture; row/column splitting as sequence labeling | 1 | 2 |
| 466 | TabStruct-Net | Unknown | Unknown | Unknown | 1 | 2 |
| 467 | TAPAS-Large classifier with Counterfactual + Synthetic pre-training | Unknown | Unknown | Unknown | 1 | 2 |
| 468 | TAPEX-Large | Unknown | Unknown | Unknown | 1 | 2 |
| 469 | Tesseract | Google (Open Source) | — | Traditional OCR | 2 | 2 |
| 470 | TFLOP | Upstage AI | Unknown | Layout Pointer mechanism; span-aware contrastive supervision; reformulates TSR as text region pointing | 1 | 2 |
| 471 | TPSNet | Unknown | Unknown | Unknown | 1 | 2 |
| 472 | TRUST | Unknown | Unknown | Unknown | 1 | 2 |
| 473 | UniTable Large | Georgia Tech (Peng et al.) | Unknown | ViT encoder + autoregressive decoder; self-supervised pretraining on unannotated tabular images | 1 | 2 |
| 474 | VaeDiff-DocRE | Unknown | Unknown | Unknown | 2 | 2 |
| 475 | VAI-OCR | Unknown | Unknown | Unknown | 1 | 2 |
| 476 | VideoPrism-g | — | — | — | 2 | 2 |
| 477 | VisualWordGrid | Unknown | Unknown | Unknown | 1 | 2 |
| 478 | ViT-B/16 | 86M | Vision Transformer | 2 | 2 | |
| 479 | ViTDet-H (MAE) | Meta | Unknown | Plain ViT-H backbone with simple feature pyramid, Cascade Mask RCNN head | 1 | 2 |
| 480 | ViT-H/14 | 632M | Vision Transformer | 2 | 2 | |
| 481 | VTM | Unknown | Unknown | Unknown | 1 | 2 |
| 482 | XLNet | Unknown | Unknown | Unknown | 1 | 2 |
| 483 | 3DGP | Unknown | Unknown | Unknown | 1 | 1 |
| 484 | ABCNet v2 | TPAMI 2021 | — | — | 1 | 1 |
| 485 | Abdallah | Unknown | Unknown | Unknown | 1 | 1 |
| 486 | AIMv2-3B | Apple | 2.7B | Vision Transformer (Autoregressive Pre-trained) | 1 | 1 |
| 487 | AIN 7B | Research | — | Vision-Language Model | 1 | 1 |
| 488 | AlexNet | U. Toronto | — | — | 1 | 1 |
| 489 | AlexNet + spatial pyramidal pooling + image resizing | Unknown | Unknown | Unknown | 1 | 1 |
| 490 | Anthropic Haiku 4.5 | Anthropic | Unknown | Vision-language model (thinking enabled) | 1 | 1 |
| 491 | ArabicNougat | Community | — | — | 1 | 1 |
| 492 | ArtDet-v2 | Sogou OCR team | Unknown | Scene text detector | 1 | 1 |
| 493 | ARTEMIS-DA | Unknown | Unknown | Unknown | 1 | 1 |
| 494 | AttentionOCR_Inception-resnet-v2_Location | Unknown | Unknown | Unknown | 1 | 1 |
| 495 | AWS Textract | Amazon Web Services | Unknown | Managed OCR + layout + table extraction service | 1 | 1 |
| 496 | Azure Document Intelligence | Microsoft | Unknown | Managed layout + OCR extraction service | 1 | 1 |
| 497 | Azure OCR | Microsoft | — | Cloud OCR Service | 1 | 1 |
| 498 | BDN | Unknown | Unknown | Unknown | 1 | 1 |
| 499 | BEiT | — | — | — | 1 | 1 |
| 500 | BEiT-3 (ViT-L) | Microsoft | Unknown | Multiway Transformer (ViT-L/14) | 1 | 1 |