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 21412150 of 10420 papers

TitleStatusHype
LayerCollapse: Adaptive compression of neural networks0
Meta Co-Training: Two Views are Better than OneCode1
Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification0
Do text-free diffusion models learn discriminative visual representations?Code1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context0
Automatic Recognition of Learning Resource Category in a Digital LibraryCode0
PHG-Net: Persistent Homology Guided Medical Image ClassificationCode1
PAWS-VMK: A Unified Approach To Semi-Supervised Learning And Out-of-Distribution Detection0
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model0
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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