schp-lip-20
pirocheto基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗DISCOVER & COMPARE
Explore AI models 251
BEN2
PramaLLCBEN2 (Background Erase Network) introduces a novel approach to foreground segmentation through its innovative Confidence Guided Matting (CGM) pipeline. The architecture employs a refiner network that targets and processes pixels where the base model exhibits lower confidence levels, resulting in more precise and reliable matting results. This model is built on BEN: [](https://paperswithcode.com/sota/dichotomous-image-segmentation-on-dis-vd?p=ben-using-confidence-guided-matting-for) BEN2 was trained on the DIS5k and our 22K proprietary segmentation dataset. Our enhanced model delivers superior performance in hair matting, 4K processing, object segmentation, and edge refinement. Our Base model is open source. To try the full model through our free web demo or integrate BEN2 into your project with our API: - 🌐 backgrounderase.com - For access to our commercial model email us at sales@backgrounderase.com - Our website: https://backgrounderase.com/ - Follow us on X: https://x.com/PramaResearch/
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View details ↗FastSam-S
qualcomm基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗FastSam-X
qualcomm基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗FFNet-122NS-LowRes
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View details ↗FFNet-40S
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View details ↗FFNet-54S
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View details ↗FFNet-78S
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View details ↗FFNet-78S-LowRes
qualcomm基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Segment-Anything-Model
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View details ↗Unet-Segmentation
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View details ↗LSP-DETR
RationAI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗skywater_seg
Realcat基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗tcd-segformer-mit-b0
restorThis is a semantic segmentation model that can delineate tree cover in high resolution (10 cm/px) aerial images. This model card is mostly the same for all similar models uploaded to Hugging Face. The model name refers to the specific architecture variant (e.g. nvidia-mit-b0 to nvidia-mit-b5) but the broad details for training and evaluation are identical. This semantic segmentation model was trained on global aerial imagery and is able to accurately delineate tree cover in similar images. The model does not detect individual trees, but provides a per-pixel classification of tree/no-tree.
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View details ↗tcd-segformer-mit-b5
restor基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗rf-detr-seg-medium
Roboflow基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗rf-detr-seg-nano
Roboflow基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗yolo12l-person-seg
RyanJames基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗segformer_b3_clothes
sayeed99SegFormer 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/human_parsing_dataset". **NEW** - **Training code**. Right now it only contains the pure code with some comments, but soon I'll add a colab notebook version and a blog post with it to make it more friendly. Labels: 0: "Background", 1: "Hat", 2: "Hair", 3: "Sunglasses", 4: "Upper-clothes", 5: "Skirt", 6: "Pants", 7: "Dress", 8: "Belt", 9: "Left-shoe", 10: "Right-shoe", 11: "Face", 12: "Left-leg", 13: "Right-leg", 14: "Left-arm", 15: "Right-arm", 16: "Bag", 17: "Scarf"
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View details ↗segformer-b3-fashion
sayeed99This model is a fine-tuned version of nvidia/mit-b3 on the sayeed99/fashion_segmentation dataset using original image sizes without resizing. Labels : {"0":"Unlabelled", "1": "shirt, blouse", "2": "top, t-shirt, sweatshirt", "3": "sweater", "4": "cardigan", "5": "jacket", "6": "vest", "7": "pants", "8": "shorts", "9": "skirt", "10": "coat", "11": "dress", "12": "jumpsuit", "13": "cape", "14": "glasses", "15": "hat", "16": "headband, head covering, hair accessory", "17": "tie", "18": "glove", "19": "watch", "20": "belt", "21": "leg warmer", "22": "tights, stockings", "23": "sock", "24": "shoe", "25": "bag, wallet", "26": "scarf", "27": "umbrella", "28": "hood", "29": "collar", "30": "lapel", "31": "epaulette", "32": "sleeve", "33": "pocket", "34": "neckline", "35": "buckle", "36": "zipper", "37": "applique", "38": "bead", "39": "bow", "40": "flower", "41": "fringe", "42": "ribbon", "43": "rivet", "44": "ruffle", "45": "sequin", "46": "tassel"} ```bibtex @article{DBLP:journals/corr/abs-2105-15203, author = {Enze Xie and Wenhai Wang and Zhiding Yu and Anima Anandkumar and Jose M. Alvarez and Ping Luo}, title = {SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers}, journal = {CoRR}, volume = {abs/2105.15203}, year = {2021}, url = {https://arxiv.org/abs/2105.15203}, eprinttype = {arXiv}, eprint = {2105.15203}, timestamp = {Wed, 02 Jun 2021 11:46:42 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2105-15203.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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View details ↗ink_3d_dino_guided
scrollprize基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗ink_canonical_2um
scrollprize基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗PHerc.1667-iteration-0
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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