2 dépôts
Awesome GitHub RepositoriesPhrase-Specific Isolation
Isolating specific objects by matching visual regions to high-similarity scores for individual words within a phrase.
Distinct from Object Detection: Moves beyond general object detection to target specific sub-phrases for precise isolation.
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Awesome Phrase-Specific Isolation GitHub Repositories
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- idea-research/groundingdino
IDEA-Research/GroundingDINO
9,738Voir sur GitHubGroundingDINO is a deep learning vision model and open-vocabulary object detector designed to map natural language prompts to spatial coordinates. It functions as a text-to-bounding-box framework that enables zero-shot image localization, allowing the system to identify and locate arbitrary objects without requiring predefined classes or specific training for those categories. The project distinguishes itself by matching visual features to natural language descriptions to achieve open-set visual recognition. It supports text-guided image localization and the isolation of specific objects base
Extracts precise object locations by targeting the highest text similarity scores for specific words within a sentence.
Pythonobject-detectionopen-worldopen-world-detection - facebookresearch/multimodal
facebookresearch/multimodal
1,723Voir sur GitHubMultimodal is a machine learning library built on PyTorch for training large-scale models that combine text, image, audio, and video data streams. It functions as a deep learning framework dedicated to generative diffusion models, multi-task training, and vision-language tasks. The library supplies modular building blocks, discrete latent codebook quantization, shared-space embeddings, and stackable adapter layers to handle diverse conditional inputs during training and inference. The framework supports specific architectures for diffusion models, text-to-video generation, image-text retrieva
Locates and boxes specific regions in an image corresponding to noun phrases found in text queries.
Python
