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 17911800 of 10420 papers

TitleStatusHype
On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained EncoderCode0
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN0
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural NetworkCode1
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth0
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use0
SGD with Partial Hessian for Deep Neural Networks OptimizationCode0
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix0
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGradCode0
Trainable Fractional Fourier TransformCode2
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like ArchitecturesCode4
Show:102550
← PrevPage 180 of 1042Next →

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