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

Showing 19011925 of 10420 papers

TitleStatusHype
Co2L: Contrastive Continual LearningCode1
HetSeq: Distributed GPU Training on Heterogeneous InfrastructureCode1
A Conservative Approach for Unbiased Learning on Unknown BiasesCode1
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal MappingCode1
From Pixels to Components: Eigenvector Masking for Visual Representation LearningCode1
CoAtNet: Marrying Convolution and Attention for All Data SizesCode1
Soft Augmentation for Image ClassificationCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Hierarchical Image Classification using Entailment Cone EmbeddingsCode1
How Important is Weight Symmetry in Backpropagation?Code1
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAsCode1
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
Hard Sample Aware Noise Robust Learning for Histopathology Image ClassificationCode1
AQD: Towards Accurate Fully-Quantized Object DetectionCode1
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
Sparse autoencoders reveal selective remapping of visual concepts during adaptationCode1
Sparse Communication for Distributed Gradient DescentCode1
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSCode1
Generative Classifiers as a Basis for Trustworthy Image ClassificationCode1
Collaborative Transformers for Grounded Situation RecognitionCode1
Adversarial Robustness on In- and Out-Distribution Improves ExplainabilityCode1
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image AnalysisCode1
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer NetworksCode1
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical ImagesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified