CIFAR-10
Canonical31papers using it
2016first seen
60,000 32×32 color images in 10 classes — a small, standard image-classification benchmark.
Papers using CIFAR-10 (31)
- Panorama: Fast-Track Nearest NeighborsDeep Hamming Hashing Integrating Transformer and Attention MechanismUniHash: Unifying Pointwise and Pairwise Hashing ParadigmsDense associative memory for Gaussian distributionsMambaHash: Visual State Space Deep Hashing Model for Large-Scale Image RetrievalBinary Generative Adversarial Networks for Image RetrievalUnsupervised Triplet Hashing for Fast Image RetrievalFrom Hashing to CNNs: Training BinaryWeight Networks via HashingEmbarrassingly Simple Binary Representation LearningHybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for
Image RetrievalDeep Multi-View Enhancement Hashing for Image RetrievalDeep Saliency HashingTransformer-based Clipped Contrastive Quantization Learning for
Unsupervised Image RetrievalCollaborative Learning for Extremely Low Bit Asymmetric HashingDeep Triplet QuantizationDeep Unsupervised Image Hashing by Maximizing Bit EntropyPush for Quantization: Deep Fisher HashingCompact Hash Codes for Efficient Visual Descriptors Retrieval in Large
Scale DatabasesDeep Supervised Hashing with Triplet LabelsDeep Hashing with Triplet Quantization LossFast Supervised Discrete HashingA survey on deep hashing for image retrievalLeveraging High-Resolution Features for Improved Deep Hashing-based
Image RetrievalDeep LDA HashingSupervised Discrete Hashing with RelaxationPDH : Probabilistic deep hashing based on MAP estimation of Hamming
distanceDeep Reinforcement Learning with Label Embedding Reward for Supervised
Image HashingTransHash: Transformer-based Hamming Hashing for Efficient Image
RetrievalVision Transformer Hashing for Image RetrievalHard Example Guided Hashing for Image RetrievalStructured Multi-Hashing for Model Compression