Misc file search results for .pth files – find public…
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https://github.com/naver-ai/vidt/releases/download/v0.1-vidt-plus/vidt_plus_base_det300.pth
GitHub - naver-ai/vidt Github -
https://github.com/naver-ai/vidt/releases/download/v0.1-vidt-plus/vidt_plus_small_det300.pth
GitHub - naver-ai/vidt Github -
https://github.com/naver-ai/vidt/releases/download/v0.1-vidt/vidt_base_50.pth
GitHub - naver-ai/vidt Github -
https://github.com/UX-Decoder/DINOv/releases/download/checkpoint/model_swinL.pth
GitHub - UX-Decoder/DINOv: [CVPR 2024] Official implementation of the paper "Visual In-context Learning" model -
https://github.com/Megvii-BaseDetection/storage/releases/download/0.0.1/yolox_x.pth
GitHub - Megvii-BaseDetection/YOLOX: YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/ github -
https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_x.pth
GitHub - Megvii-BaseDetection/YOLOX: YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/ github -
https://omnomnom.vision.rwth-aachen.de/data/3DC-Seg/models/bmvc_final.pth
Index of /data/3DC-Seg/models/ bmvc_final.pth -
https://dl.ash2txt.org/community-uploads/bruniss/nnunet_models/nnUNet_results/Dataset059_s1_s4_s5_patches_frangiedt/nnUNetTrainerMedialSurfaceRecall__nnUNetResEncUNetPlans_40G__3d_fullres/fold_0/checkpoint_best.pth
Index of /community-uploads/bruniss/nnunet_models/nnUNet_results/Dataset059_s1_s4_s5_patches_frangiedt/nnUNetTrainerMedialSurfac checkpoint_best.pth -
https://dl.ash2txt.org/community-uploads/bruniss/nnunet_models/nnUNet_results/Dataset059_s1_s4_s5_patches_frangiedt/nnUNetTrainerMedialSurfaceRecall__nnUNetResEncUNetPlans_40G__3d_fullres/fold_0/checkpoint_final.pth
Index of /community-uploads/bruniss/nnunet_models/nnUNet_results/Dataset059_s1_s4_s5_patches_frangiedt/nnUNetTrainerMedialSurfac checkpoint_final.pth -
https://dl.ash2txt.org/community-uploads/bruniss/nnunet_models/nnUNet_results/Dataset059_s1_s4_s5_patches_frangiedt/nnUNetTrainerMedialSurfaceRecall__nnUNetResEncUNetPlans_40G__3d_fullres/fold_0/checkpoint_latest.pth
Index of /community-uploads/bruniss/nnunet_models/nnUNet_results/Dataset059_s1_s4_s5_patches_frangiedt/nnUNetTrainerMedialSurfac checkpoint_latest.pth -
https://github.com/IDEA-Research/detrex-storage/releases/download/maskdino-v0.1.0/maskdino_swinl_50ep_300q_hid2048_3sd1_instance_mask52.1ap_box58.3ap.pth
GitHub - IDEA-Research/MaskDINO: [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation" model -
https://github.com/IDEA-Research/detrex-storage/releases/download/maskdino-v0.1.0/maskdino_swinl_50ep_300q_hid2048_3sd1_instance_maskenhanced_mask52.3ap_box59.0ap.pth
GitHub - IDEA-Research/MaskDINO: [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation" model -
https://github.com/IDEA-Research/detrex-storage/releases/download/maskdino-v0.1.0/maskdino_swinl_50ep_300q_hid2048_3sd1_panoptic_58.3pq.pth
GitHub - IDEA-Research/MaskDINO: [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation" model -
https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha2/groundingdino_swinb_cogcoor.pth
GitHub - IDEA-Research/GroundingDINO: [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection" GitHub link