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Satquest Qwen2vl Sft v2 Merged
Qwen2-VL-2B fine-tuned for satellite imagery question answering — produces complete natural-language sentences.
TRELLIS Image Large
The image conditioned version of TRELLIS, a large 3D genetive model. It was introduced in the paper Structured 3D Latents for Scalable and Versatile 3D Generation.
Insert Mouse Battery Videomae Reward v1
Binary VideoMAE reward model for detecting the completed state of the insert-mouse-battery task from an approximately one-second, three-view clip. It was newly fine-tuned from MCG-NJU/videomae-base-finetuned-kinetics...
ControlNet Canny SDXL 1.0
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with canny conditioning. You can find some example images in the following.
Idefics 9b Qt F
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Segformer B2 Clothes
SegFormer model fine-tuned on ATR dataset for clothes segmentation but can also be used for human segmentation. The dataset on hugging face is called "mattmdjaga/humanparsingdataset".
Siglip2 So400m Patch14 224 Vision
> Note: This is a stripped-down copy of google/siglip2-so400m-patch14-224 containing only the vision tower. It encodes images / video frames into the shared embedding space and is meant to be loaded on its own at...
Korean Kws3
This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on the None dataset. It achieves the following results on the evaluation set: Loss: 0.3971 Accuracy: 1.0
ViViT Lsa64 CoR
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.0008 Accuracy: 1.0
DecMem
We propose DecMem, a decoupled memory architecture that employs Sparse Global Memory for efficient fine-grained access to global history and Anchored Local Memory for stable and high-quality extrapolation.
Depth Pro
This software project accompanies the research paper: Depth Pro: Sharp Monocular Metric Depth in Less Than a Second, Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter,...
Mast3r
@misc{mast3rarxiv24, title={Grounding Image Matching in 3D with MASt3R}, author={Vincent Leroy and Yohann Cabon and Jerome Revaud}, year={2024}, eprint={2406.09756}, archivePrefix={arXiv}, primaryClass={cs.CV} }
Bm v1
This model combines text and image inputs to predict player moves from in-game screenshots for the popular 4X Civilization VI. In use, screenshot inputs are provided and text inputs generated using an LLM.
ControlNet Streetview Safety Sd15
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
Wav2vec2 Emotion Recognition Custom
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Aurora Code 1 GGUF
For a convenient overview and download list, visit our model page for this model.
Glm Ocr Onnx
This repository contains a production-oriented ONNX export/bundle for GLM-OCR with static graph wiring and quantization-aware layout for edge/browser deployment workflows.
VideoMAE Base Wlasl 100 30ep CoR
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 4.4320 Accuracy: 0.0237
RealWivesPony RealWivesPonyv 1.1
ID: 709934 Author: BBW4TW Type: Checkpoint Base Model: Pony Base Model Type: Standard Model Version ID: 794078
Unlearn Ucf101 Videomae Large Bad Teaching 2 42
This model is a fine-tuned version of MCG-NJU/videomae-large on the ucf101 dataset. It achieves the following results on the evaluation set: Loss: 0.4600 Accuracy: 0.9205 Test Accuracy: 0.9205 Df Accuracy: 0.9866...
