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 44914500 of 10420 papers

TitleStatusHype
Image classification based on support vector machine and the fusion of complementary features0
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks0
Deep Gaussian Processes with Convolutional Kernels0
CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier0
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning0
Image BERT Pre-training with Online Tokenizer0
Deep Fisher Networks for Large-Scale Image Classification0
Deep FisherNet for Object Classification0
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification0
Deep Features for training Support Vector Machine0
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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