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 911920 of 10420 papers

TitleStatusHype
Concept Learners for Few-Shot LearningCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
GAN-based Priors for Quantifying UncertaintyCode1
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement LearningCode1
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray ClassificationCode1
Confidence-aware multi-modality learning for eye disease screeningCode1
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding AttacksCode1
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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