Browse > Computer Vision > Object Recognition

Object Recognition

152 papers with code · Computer Vision

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Leaderboards

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Greatest papers with code

Going Deeper with Convolutions

CVPR 2015 tensorflow/models

We propose a deep convolutional neural network architecture codenamed "Inception", which was responsible for setting the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC 2014).

IMAGE CLASSIFICATION OBJECT DETECTION OBJECT RECOGNITION

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

25 Apr 2019open-mmlab/mmdetection

In this paper, we take advantage of this finding to create a simplified network based on a query-independent formulation, which maintains the accuracy of NLNet but with significantly less computation.

INSTANCE SEGMENTATION OBJECT DETECTION OBJECT RECOGNITION

Densely Connected Convolutional Networks

CVPR 2017 pytorch/vision

Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.

IMAGE CLASSIFICATION OBJECT RECOGNITION

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

6 Oct 2013jetpacapp/DeepBeliefSDK

We evaluate whether features extracted from the activation of a deep convolutional network trained in a fully supervised fashion on a large, fixed set of object recognition tasks can be re-purposed to novel generic tasks.

DOMAIN ADAPTATION OBJECT RECOGNITION SCENE RECOGNITION TRANSFER LEARNING

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

21 Dec 2013soumith/convnet-benchmarks

This integrated framework is the winner of the localization task of the ImageNet Large Scale Visual Recognition Challenge 2013 (ILSVRC2013) and obtained very competitive results for the detection and classifications tasks.

IMAGE CLASSIFICATION OBJECT DETECTION OBJECT RECOGNITION

Some Improvements on Deep Convolutional Neural Network Based Image Classification

19 Dec 2013facebook/fb.resnet.torch

We investigate multiple techniques to improve upon the current state of the art deep convolutional neural network based image classification pipeline.

IMAGE CLASSIFICATION OBJECT RECOGNITION

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

CVPR 2017 Microsoft/USBuildingFootprints

Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classification problems such as semantic segmentation.

OBJECT RECOGNITION SEMANTIC SEGMENTATION

Texture Synthesis Using Convolutional Neural Networks

NeurIPS 2015 DmitryUlyanov/texture_nets

Here we introduce a new model of natural textures based on the feature spaces of convolutional neural networks optimised for object recognition.

OBJECT RECOGNITION TEXTURE SYNTHESIS