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Rethinking Atrous Convolution for Semantic Image Segmentation
v1v2v3 (latest)

Rethinking Atrous Convolution for Semantic Image Segmentation

17 June 2017
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
    SSeg
ArXiv (abs)PDFHTML

Papers citing "Rethinking Atrous Convolution for Semantic Image Segmentation"

50 / 2,592 papers shown
Title
Using Stochastic Gradient Descent to Smooth Nonconvex Functions:
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ConeQuest: A Benchmark for Cone Segmentation on Mars
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Towards Open-Ended Visual Recognition with Large Language Model
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Benchmarking Individual Tree Mapping with Sub-meter Imagery
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A. Kariryaa
Martin Brandt
Christian Igel
Sizhuo Li
Maurice Mugabowindekwe
R. Fensholt
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2
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14 Nov 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
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CrashCar101: Procedural Generation for Damage Assessment
CrashCar101: Procedural Generation for Damage Assessment
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Erik Riise
Dim P. Papadopoulos
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An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in
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Muhammad Dawood
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PolyMaX: General Dense Prediction with Mask Transformer
PolyMaX: General Dense Prediction with Mask Transformer
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Linear Gaussian Bounding Box Representation and Ring-Shaped Rotated
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Fengshui Jing
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Spatial Attention-based Distribution Integration Network for Human Pose
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Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding
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POISE: Pose Guided Human Silhouette Extraction under Occlusions
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PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
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Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type
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Deep Learning on SAR Imagery: Transfer Learning Versus Randomly
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