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 40014025 of 10420 papers

TitleStatusHype
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
Feature Denoising for Improving Adversarial RobustnessCode0
ARMA Nets: Expanding Receptive Field for Dense PredictionCode0
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial PerturbationsCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseCode0
A Twofold Siamese Network for Real-Time Object TrackingCode0
CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning FusionCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registrationCode0
Ajwa or Medjool: a binary balanced dataset to teach machine learning عجوة أو مجدول: مجموعة بيانات متوازنة الصنفين لتدريس تعلم الآلة‏Code0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNsCode0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated LearningCode0
Feature Normalized Knowledge Distillation for Image ClassificationCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
Hysteresis Activation Function for Efficient InferenceCode0
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural NetworkCode0
CSA-Net: Channel-wise Spatially Autocorrelated Attention NetworksCode0
Accelerating Malware Classification: A Vision Transformer SolutionCode0
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and RetrievalCode0
Hyperspectral Image Classification via Sparse Representation With Incremental DictionariesCode0
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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