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 1651–1675 of 10420 papers

TitleStatusHype
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?Code0
CAM-Based Methods Can See through WallsCode0
Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance—0
Cross-to-merge training with class balance strategy for learning with noisy labelsCode0
Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models—0
Can Biases in ImageNet Models Explain Generalization?Code1
Improving Visual Recognition with Hyperbolical Visual Hierarchy MappingCode1
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text GuidanceCode0
Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification—0
Instance-Aware Group Quantization for Vision Transformers—0
Harnessing The Power of Attention For Patch-Based Biomedical Image Classification—0
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection—0
Diverse Feature Learning by Self-distillation and Reset—0
Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover ClassificationCode0
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via NegationsCode1
MCNet: A crowd denstity estimation network based on integrating multiscale attention module—0
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation—0
Enhance Image Classification via Inter-Class Image Mixup with Diffusion ModelCode1
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTsCode2
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design ApproachCode1
RSMamba: Remote Sensing Image Classification with State Space ModelCode3
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning—0
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks—0
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer VisionCode0
Show:102550
← PrevPage 67 of 417Next →
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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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