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 39413950 of 10420 papers

TitleStatusHype
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images0
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition0
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks0
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces0
Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification0
Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision0
Fast, Better Training Trick --- Random Gradient0
Detecting Adversarial Examples in Convolutional Neural Networks0
Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics0
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis0
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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