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 761770 of 10420 papers

TitleStatusHype
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
Differentiable Model Compression via Pseudo Quantization NoiseCode1
Differentially Private Synthetic Medical Data Generation using Convolutional GANsCode1
DiffMIC: Dual-Guidance Diffusion Network for Medical Image ClassificationCode1
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
An Empirical Investigation of the Role of Pre-training in Lifelong LearningCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODECode1
A deep active learning system for species identification and counting in camera trap imagesCode1
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz NetworksCode1
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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