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 311320 of 10419 papers

TitleStatusHype
Context Encoding for Semantic SegmentationCode2
Learning Efficient Convolutional Networks through Network SlimmingCode2
Random Erasing Data AugmentationCode2
Revisiting Unreasonable Effectiveness of Data in Deep Learning EraCode2
Pruning Filters for Efficient ConvNetsCode2
Some Improvements on Deep Convolutional Neural Network Based Image ClassificationCode2
Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and PhysicsCode1
SeqPE: Transformer with Sequential Position EncodingCode1
InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck MambaCode1
SAFE: Finding Sparse and Flat Minima to Improve PruningCode1
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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