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 431440 of 10419 papers

TitleStatusHype
Compositional Explanations of NeuronsCode1
Combining Human Predictions with Model Probabilities via Confusion Matrices and CalibrationCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image ClassificationCode1
A Simple Semi-Supervised Learning Framework for Object DetectionCode1
Continual Learning Using a Kernel-Based Method Over Foundation ModelsCode1
A Single Graph Convolution Is All You Need: Efficient Grayscale Image ClassificationCode1
ConTNet: Why not use convolution and transformer at the same time?Code1
Combating Label Noise in Deep Learning Using AbstentionCode1
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
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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