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 7 of 18.
| # | Model | Vendor | Parameters | Architecture | Benchmarks | Results |
|---|---|---|---|---|---|---|
| 301 | NeuSUM | Unknown | Unknown | Unknown | 1 | 3 |
| 302 | Neumann et al. * | Unknown | Unknown | Unknown | 1 | 3 |
| 303 | PCGAN-CHAR | Unknown | Unknown | Unknown | 3 | 3 |
| 304 | PEGASUS + SummaReranker | Unknown | Unknown | Unknown | 1 | 3 |
| 305 | PGNet | Unknown | Unknown | Unknown | 1 | 3 |
| 306 | PSENet (ResNet-152) | Unknown | Unknown | Unknown | 1 | 3 |
| 307 | PSENet [67] | Unknown | Unknown | Unknown | 1 | 3 |
| 308 | PSENet-4s | Unknown | Unknown | Unknown | 1 | 3 |
| 309 | Pixel-level RC | Unknown | Unknown | Unknown | 3 | 3 |
| 310 | PixelLink+VGG16 2s MS | Unknown | Unknown | Unknown | 1 | 3 |
| 311 | Quad_MS | Unknown | Unknown | Unknown | 1 | 3 |
| 312 | RARE | Unknown | Unknown | Unknown | 3 | 3 |
| 313 | RCEED | Unknown | Unknown | Unknown | 3 | 3 |
| 314 | RMIPN | Zheng et al. | Unknown | Region Multiple Information Perception plug-and-play module on DB baseline | 1 | 3 |
| 315 | RRD∗ | Unknown | Unknown | Unknown | 1 | 3 |
| 316 | RapidOCR | Unknown | Unknown | Unknown | 1 | 3 |
| 317 | Re0 | Unknown | Unknown | Unknown | 1 | 3 |
| 318 | ResNet-152 | Microsoft | 60M | CNN | 2 | 3 |
| 319 | ResNet-50 | Microsoft | 25M | CNN | 3 | 3 |
| 320 | RetinaNet | Unknown | Unknown | Unknown | 2 | 3 |
| 321 | SAR | Unknown | Unknown | Unknown | 3 | 3 |
| 322 | SAST | Unknown | Unknown | Unknown | 1 | 3 |
| 323 | SRN | Unknown | Unknown | Unknown | 3 | 3 |
| 324 | SRTS | Unknown | Unknown | Unknown | 1 | 3 |
| 325 | STAR-Net | Unknown | Unknown | Unknown | 3 | 3 |
| 326 | Scrambled code + broken (alter) | Unknown | Unknown | Unknown | 1 | 3 |
| 327 | Segment Anything Model (SAM) | Unknown | — | — | 3 | 3 |
| 328 | Selector+Pointer Generator | Unknown | Unknown | Unknown | 1 | 3 |
| 329 | SumHiS | SumHiS Authors | — | Extractive summarization exploiting hidden document structure | 1 | 3 |
| 330 | Synthesizer (R+V) | Unknown | Unknown | Unknown | 1 | 3 |
| 331 | TaLK Convolutions (Deep) | Unknown | Unknown | Unknown | 1 | 3 |
| 332 | TaLK Convolutions (Standard) | Unknown | Unknown | Unknown | 1 | 3 |
| 333 | TableMaster | Unknown | Unknown | Unknown | 2 | 3 |
| 334 | TextBPN++ (ResNet-18) | Zhang et al. | Unknown | ResNet-18 + Boundary Transformer | 1 | 3 |
| 335 | TextBPN++ (ResNet-50) | Zhang et al. (HCIILAB) | Unknown | ResNet-50 + Boundary Transformer (single-scale, no DCN) | 1 | 3 |
| 336 | TextFiled | Unknown | Unknown | Unknown | 1 | 3 |
| 337 | TextScanner | Unknown | Unknown | Unknown | 3 | 3 |
| 338 | Total w/o. joint | Unknown | Unknown | Unknown | 1 | 3 |
| 339 | Total3D joint | Unknown | Unknown | Unknown | 1 | 3 |
| 340 | TrOCR | Unknown | Unknown | Unknown | 2 | 3 |
| 341 | TriSum-J | TriSum Authors | — | BART-large distilled from GPT-3.5 with structured rationale | 1 | 3 |
| 342 | U-SPEC | Unknown | Unknown | Unknown | 1 | 3 |
| 343 | UniLM (Abstractive Summarization) | Unknown | Unknown | Unknown | 1 | 3 |
| 344 | UniXcoder | Microsoft | Unknown | Transformer encoder-decoder | 3 | 3 |
| 345 | V-JEPA 2 ViT-g (1B, 384px) | — | — | — | 3 | 3 |
| 346 | VCGroup | Unknown | Unknown | Unknown | 1 | 3 |
| 347 | Vision Transformer (ViT-H/14) | — | — | — | 3 | 3 |
| 348 | WordSup (VGG16-synth-coco) | Unknown | Unknown | Unknown | 1 | 3 |
| 349 | XM | Unknown (ICDAR 2021 participant) | — | — | 1 | 3 |
| 350 | YOLOv10-X | Tsinghua University | — | CNN (Real-time) | 1 | 3 |