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 18211830 of 10420 papers

TitleStatusHype
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text AttacksCode1
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel RepresentationCode1
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchCode1
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
SAAL: Sharpness-Aware Active LearningCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
GhostNet: More Features from Cheap OperationsCode1
GLiT: Neural Architecture Search for Global and Local Image TransformerCode1
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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