{"apiVersion":"v1","taxonomyVersion":1,"generatedAt":"2026-10-29T14:05:23.003Z","data":{"recordId":"wsa_egv7kh6wsqq4","score":0.72,"confidence":"medium","capped":false,"capReason":null,"sources":[{"n":1,"url":"https://github.com/PSRben/VisionHOPE","publisher":"GitHub new repositories","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-28T00:02:38.647Z","detectedPublishedAt":"2026-09-27T06:56:59.000Z","rights":"original"},{"n":2,"url":"https://huggingface.co/PSRben/VisionHOPE","publisher":"Hugging Face","authority":"owner-controlled","verification":"verified","lastRetrievedAt":"2026-10-28T00:02:38.647Z","detectedPublishedAt":"2026-09-29T07:28:16.000Z","rights":"original"}],"claims":[{"id":"c19edd40-5e56-41f9-92d3-20593255cc93","kind":"capability","statement":"VisionHOPE-T is a visual backbone based on self-referential nested learning.","citations":[{"source":1,"supportProbability":0.55,"supports":false,"quote":{"text":"PyTorch implementation of **VisionHOPE**, a visual backbone based on self-referential nested learning (SRNL).","rights":"original"}}]},{"id":"70d83619-2864-4363-a71a-7bdb6d36f228","kind":"deployment","statement":"The installation instructions require Linux, an NVIDIA GPU, and the CUDA toolkit.","citations":[{"source":1,"supportProbability":0.68,"supports":false,"quote":{"text":"Use Linux with an NVIDIA GPU and the CUDA toolkit, including `nvcc` and a C++ compiler.","rights":"original"}}]},{"id":"170f197a-6981-49c8-95a0-7840edf5b0b0","kind":"availability","statement":"VisionHOPE-T pretrained checkpoints are downloadable from the Hugging Face repository.","citations":[{"source":2,"supportProbability":0.79,"supports":true,"quote":null}]},{"id":"49e687cd-f7f5-477e-ac82-cfb84c733f49","kind":"capability","statement":"VisionHOPE-T has an ImageNet-1K classification checkpoint.","citations":[{"source":1,"supportProbability":0.73,"supports":true,"quote":null},{"source":2,"supportProbability":0.83,"supports":true,"quote":{"text":"This repository contains the hierarchical VisionHOPE-T/S/B checkpoints for ImageNet-1K classification, COCO object detection and instance segmentation, and ADE20K semantic segmentation.","rights":"original"}}]},{"id":"0716816f-08a2-421a-ac1c-9f1e6b18e7f5","kind":"capability","statement":"VisionHOPE-T has COCO Mask R-CNN 1× and 3× checkpoints and an ADE20K UPerNet checkpoint.","citations":[{"source":2,"supportProbability":0.87,"supports":true,"quote":{"text":"This repository contains the hierarchical VisionHOPE-T/S/B checkpoints for ImageNet-1K classification, COCO object detection and instance segmentation, and ADE20K semantic segmentation.","rights":"original"}}]}]},"nextCursor":null,"license":{"catalog":{"name":"CC BY 4.0","spdx":"CC-BY-4.0","url":"https://creativecommons.org/licenses/by/4.0/","attribution":"wowsuchai","attributionUrl":"https://wowsuchai.withglint.app","covers":["catalog metadata","classifications","generated summaries","feed event metadata"]},"excluded":{"covers":["source quotations","linked source content"],"terms":"Not licensed by wowsuchai. Source quotations and linked source content keep their original rights."}}}