ImageNet
Canonical27papers using it
2017first seen
~1.28M labeled images across 1,000 categories (ILSVRC) — the standard large-scale image-classification benchmark.
Papers using ImageNet (27)
- Defense Against Adversarial Images Using Web-scale Nearest-neighbor SearchDeep Hamming Hashing Integrating Transformer and Attention MechanismUniHash: Unifying Pointwise and Pairwise Hashing ParadigmsMambaHash: Visual State Space Deep Hashing Model for Large-Scale Image RetrievalEnd-to-end Efficient Representation Learning Via Cascading Combinatorial OptimizationUnsupervised Feature Learning via Non-Parametric Instance-level
DiscriminationFrom Hashing to CNNs: Training BinaryWeight Networks via HashingDeep Priority HashingEmbarrassingly Simple Binary Representation LearningHybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for
Image RetrievalFast Amortized Inference and Learning in Log-linear Models with Randomly
Perturbed Nearest Neighbor SearchEfficient end-to-end learning for quantizable representationsAttribute-Guided Network for Cross-Modal Zero-Shot HashingLearning Hash Codes via Hamming Distance TargetsSimilarity Search for Efficient Active Learning and Search of Rare
ConceptsLearning Effective Binary Visual Representations with Deep NetworksSketches image analysis: Web image search engine usingLSH index and DNN
InceptionV3Learning to Hash Robustly, GuaranteedAdANNS: A Framework for Adaptive Semantic SearchLeveraging High-Resolution Features for Improved Deep Hashing-based
Image RetrievalEnd-to-End Efficient Representation Learning via Cascading Combinatorial
OptimizationLearning to hash with semantic similarity metrics and empirical KL
divergenceTransHash: Transformer-based Hamming Hashing for Efficient Image
RetrievalVision Transformer Hashing for Image RetrievalTLDR: Twin Learning for Dimensionality ReductionIdentical Image Retrieval using Deep LearningHashing with Mutual Information