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...It consists of a set-based global loss, which forces unique predictions via bipartite matching, and a Transformer encoder-decoder architecture. Given a fixed small set of learned object queries, DETR reasons about the relations of the objects and the global image context to directly output the final set of predictions in parallel. Due to this parallel nature, DETR is very fast and efficient.
...Pretrained model provided (ResNet101-based, plus alternatives). Demo and evaluation scripts for benchmark datasets. Use of “foveal descriptors” to incorporate context for low-resolution faces. Pretrained model provided (ResNet101-based, plus alternatives).
Chrome Extension that displays automated image tags from Facebook
Show Facebook Computer Vision Tags is a Chrome (and Firefox) browser extension created to expose and overlay the automatically generated image tags that Facebook applies to photos in users’ feeds. Since Facebook uses a computer-vision model to analyse user-uploaded images and generate alt-text tags for accessibility (e.g., “Image may contain: golf, grass, outdoor and nature”), this extension surfaces those hidden tags directly in the UI—revealing what kind of information Facebook infers...