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 1027610300 of 10420 papers

TitleStatusHype
ViGEO: an Assessment of Vision GNNs in Earth ObservationCode0
Subject-Based Domain Adaptation for Facial Expression RecognitionCode0
StyPath: Style-Transfer Data Augmentation For Robust Histology Image ClassificationCode0
Self-Supervised Learning For Few-Shot Image ClassificationCode0
Style2Vec: Representation Learning for Fashion Items from Style SetsCode0
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial ExamplesCode0
SlowMo: Improving Communication-Efficient Distributed SGD with Slow MomentumCode0
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled ExperimentsCode0
Schizophrenia-mimicking layers outperform conventional neural network layersCode0
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image ClassificationCode0
Webly Supervised Image Classification with Self-Contained ConfidenceCode0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule NetworksCode0
Two-phase training mitigates class imbalance for camera trap image classification with CNNsCode0
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy ContinuationCode0
SLICE: Stabilized LIME for Consistent Explanations for Image ClassificationCode0
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image ClassificationCode0
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuningCode0
Two-stage Image Classification Supervised by a Single Teacher Single Student ModelCode0
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scansCode0
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object DetectionCode0
Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative TasksCode0
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic GraphCode0
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision TransformersCode0
Scale Federated Learning for Label Set Mismatch in Medical Image ClassificationCode0
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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