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 16011610 of 10420 papers

TitleStatusHype
Beyond Categorical Label Representations for Image ClassificationCode1
Fourier Image TransformerCode1
LeViT: a Vision Transformer in ConvNet's Clothing for Faster InferenceCode1
Network Quantization with Element-wise Gradient ScalingCode1
Remote Sensing Image Classification with the SEN12MS DatasetCode1
Anytime Dense Prediction with Confidence AdaptivityCode1
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image ClassificationCode1
Going deeper with Image TransformersCode1
On the Robustness of Vision Transformers to Adversarial ExamplesCode1
Learning Representational Invariances for Data-Efficient Action RecognitionCode1
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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