SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5951–5975 of 10420 papers

TitleStatusHype
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Dermoscopic Image Classification with Neural Style Transfer—0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning—0
Towards Robust Vision TransformerCode1
Semi-Supervised Classification and Segmentation on High Resolution Aerial ImagesCode1
Real-time Detection of Practical Universal Adversarial Perturbations—0
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers—0
Analyzing Images for Music Recommendation—0
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets—0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment—0
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model ConfigurationsCode1
Improved Algorithms for Agnostic Pool-based Active Classification—0
Adaptive Test-Time Augmentation for Low-Power CPU—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—0
A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-LabelsCode0
Segmenter: Transformer for Semantic SegmentationCode1
Label Geometry Aware Discriminator for Conditional Generative Networks—0
A Graph Neural Network Approach for Product Relationship Prediction—0
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay—0
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification—0
Image Classification with Classic and Deep Learning TechniquesCode0
AFINet: Attentive Feature Integration Networks for Image Classification—0
Robust Training Using Natural Transformation—0
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified