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 40814090 of 10420 papers

TitleStatusHype
FENAS: Flexible and Expressive Neural Architecture Search0
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis0
Ferrograph image classification0
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification0
Compressively Sensed Image Recognition0
AFINet: Attentive Feature Integration Networks for Image Classification0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs0
Few-Shot Action Recognition with Compromised Metric via Optimal Transport0
Group Based Deep Shared Feature Learning for Fine-grained Image Classification0
Growing Efficient Deep Networks by Structured Continuous Sparsification0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified