Threshold Attention Network for Semantic Segmentation of Remote Sensing Images | Paper Citation Record

Observation d8792ced-6bd6-4a2f-b331-9307180b995a · outbound

This paper cites Parsing very high resolution urban scene images by learning deep convnets with edge-aware loss,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Parsing very high resolution urban scene images by learning deep convnets with edge-aware loss,

Reference 1

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This paper cites Land cover mapping at very high resolution with rotation equivariant cnns: Towards small yet accurate models,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Land cover mapping at very high resolution with rotation equivariant cnns: Towards small yet accurate models,

Reference 2

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This paper cites Rotation- aware and multi-scale convolutional neural network for object detection in remote sensing images,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Rotation- aware and multi-scale convolutional neural network for object detection in remote sensing images,

Reference 3

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This paper cites A continuous satellite-derived measure of global terrestrial primary production,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images A continuous satellite-derived measure of global terrestrial primary production,

Reference 4

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This paper cites Measuring phenological variability from satellite imagery,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Measuring phenological variability from satellite imagery,

Reference 5

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Observation ffb03e8d-2a50-4b7c-8517-1ec3c384d947 · outbound

This paper cites An aircraft detection framework based on reinforcement learning and convolutional neural networks in remote sensing images,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images An aircraft detection framework based on reinforcement learning and convolutional neural networks in remote sensing images,

Reference 6

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This paper cites Detection of collapsed buildings in post-earthquake remote sensing images based on the improved yolov3,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Detection of collapsed buildings in post-earthquake remote sensing images based on the improved yolov3,

Reference 7

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Observation ecbf236e-ac18-44af-92f7-7121840107d7 · outbound

This paper cites Cloud and cloud shadow detection using multilevel feature fused segmentation network,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Cloud and cloud shadow detection using multilevel feature fused segmentation network,

Reference 8

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Observation 654fc845-00d5-44da-b2f1-b02af7e12018 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Fully convolutional networks for semantic segmentation,

Reference 9

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This paper cites Improving semantic segmentation via decoupled body and edge super- vision,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Improving semantic segmentation via decoupled body and edge super- vision,

Reference 10

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Observation c672406a-ab5a-4189-bec9-3afa9589e3db · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 11

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This paper cites Gated-scnn: Gated shape cnns for semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Gated-scnn: Gated shape cnns for semantic segmentation,

Reference 12

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This paper cites Instance- level human parsing via part grouping network,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Instance- level human parsing via part grouping network,

Reference 13

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Observation 9c4e0d8c-4574-48c2-8a6b-1b855a958cd4 · outbound

This paper cites Afnet: Adaptive fusion network for remote sensing image semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Afnet: Adaptive fusion network for remote sensing image semantic segmentation,

Reference 14

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Observation ec710c77-44bf-47a6-ab87-51cb2b807a77 · outbound

This paper cites Lanet: Local attention embedding to improve the semantic segmentation of remote sensing images,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Lanet: Local attention embedding to improve the semantic segmentation of remote sensing images,

Reference 15

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Observation 12b49c38-263d-4ae2-a7c7-ad3b857eb579 · outbound

This paper cites Aˆ 2-nets: Double attention networks,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Aˆ 2-nets: Double attention networks,

Reference 16

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Observation 25d9cf6f-9fe0-4a69-8465-fa339a17cca6 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Multi-Scale Context Aggregation by Dilated Convolutions

Reference 17

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This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 18

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Observation aa7f8024-6813-45bb-8db8-1b2ffa77c580 · outbound

This paper cites Hybrid multiple attention network for semantic segmentation in aerial images,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Hybrid multiple attention network for semantic segmentation in aerial images,

Reference 19

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Observation a78600b4-c6af-452e-850b-92134a81d605 · outbound

This paper cites Non-local neural net- works,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Non-local neural net- works,

Reference 20

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This paper cites A deformable attention net- work for high-resolution remote sensing images semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images A deformable attention net- work for high-resolution remote sensing images semantic segmentation,

Reference 21

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Observation fc88165c-e9b1-46f9-80bf-5dae096e7a89 · outbound

This paper cites Learning statistical texture for semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Learning statistical texture for semantic segmentation,

Reference 22

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This paper cites Segnext: Rethinking convolutional attention design for semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Segnext: Rethinking convolutional attention design for semantic segmentation,

Reference 23

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Observation d7801b4c-5e42-4318-9c5b-4c95b7725d0b · outbound

This paper cites High-resolution boundary-constrained and context- enhanced network for remote sensing image segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images High-resolution boundary-constrained and context- enhanced network for remote sensing image segmentation,

Reference 24

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Observation 13521b4f-3b9c-4e4e-8653-915160293c48 · outbound

This paper cites Ctmfnet: Cnn and transformer multi-scale fusion network of remote sensing urban scene imagery,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Ctmfnet: Cnn and transformer multi-scale fusion network of remote sensing urban scene imagery,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.362966Z

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Observation 38c643f9-aced-4567-ac74-6684c1e307c0 · outbound

This paper cites Attention is all you need,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Attention is all you need,

Reference 26

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Observation 1dfc7211-6e63-4fd1-ba59-4d004d87de60 · outbound

This paper cites Ccnet: Criss-cross attention for semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Ccnet: Criss-cross attention for semantic segmentation,

Reference 27

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Observation f0ede33b-53e3-4ed7-9681-42cacfe79a3a · outbound

This paper cites Relation-aware global attention for person re-identification,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Relation-aware global attention for person re-identification,

Reference 28

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Observation 76e4a030-d310-460f-9041-95a95603bce3 · outbound

This paper cites Spanet: Successive pooling attention network for semantic segmentation of remote sensing images,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Spanet: Successive pooling attention network for semantic segmentation of remote sensing images,

Reference 29

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Observation a848a672-4bdf-4dc8-8c9d-859f08024c29 · outbound

This paper cites Beyond self-attention: External attention using two linear layers for visual tasks,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Beyond self-attention: External attention using two linear layers for visual tasks,

Reference 30

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Observation e5e07a8e-ec2d-44b7-af5d-86dd558a1aae · outbound

This paper cites Squeeze-and-excitation networks,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Squeeze-and-excitation networks,

Reference 31

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Observation 2acc1946-041d-45c5-8cba-0a3d07150f73 · outbound

This paper cites Cbam: Convolutional block attention module,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Cbam: Convolutional block attention module,

Reference 32

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Observation 37ae681c-f926-4676-81f8-bc3ae5ce4ade · outbound

This paper cites BAM: Bottleneck Attention Module.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images BAM: Bottleneck Attention Module

Reference 33

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Observation 3009d4c3-5930-4c37-80c9-606e6e0f362b · outbound

This paper cites Multiattention network for semantic segmentation of fine-resolution remote sensing images,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Multiattention network for semantic segmentation of fine-resolution remote sensing images,

Reference 34

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Observation 06a056eb-0daf-4531-8a6b-39639a2a4a6c · outbound

This paper cites Dual attention network for scene segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Dual attention network for scene segmentation,

Reference 35

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Observation 060a7090-5b69-4711-a525-209029ae5646 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 36

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Observation 6a3985d1-8473-4a3a-b444-ad361221b582 · outbound

This paper cites Pyramid scene parsing network,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Pyramid scene parsing network,

Reference 37

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Observation d2cb4f81-13f4-4812-bca1-4fc2f922269e · outbound

This paper cites Ccanet: Class- constraint coarse-to-fine attentional deep network for subdecimeter aerial image semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Ccanet: Class- constraint coarse-to-fine attentional deep network for subdecimeter aerial image semantic segmentation,

Reference 38

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Observation dbaa785f-1e33-46a4-a606-9a2003a67de7 · outbound

This paper cites Object-contextual representations for semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Object-contextual representations for semantic segmentation,

Reference 39

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Observation 20ab27db-26a2-4aa0-af79-ddf92d66c237 · outbound

This paper cites Beyond rgb: Very high resolution urban remote sensing with multimodal deep networks,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Beyond rgb: Very high resolution urban remote sensing with multimodal deep networks,

Reference 40

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Observation 29fd8194-6437-47f2-9350-02a9fed95aad · outbound

This paper cites Classification with an edge: Improving semantic image seg- mentation with boundary detection,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Classification with an edge: Improving semantic image seg- mentation with boundary detection,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.229700Z

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Observation 1353c4af-460c-47b0-b9f5-79ff650b5fd2 · outbound

This paper cites Treeunet: Adaptive tree convolutional neural networks for subdecimeter aerial image segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Treeunet: Adaptive tree convolutional neural networks for subdecimeter aerial image segmentation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.219356Z

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Observation 982918ff-79f6-4707-bc26-fdcf1e774103 · outbound

This paper cites Abcnet: Attentive bilateral contextual network for efficient semantic segmentation of fine-resolution remotely sensed imagery,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Abcnet: Attentive bilateral contextual network for efficient semantic segmentation of fine-resolution remotely sensed imagery,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.208344Z

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Observation 9851b7c2-e3d8-4872-92fb-6483a6172a3f · outbound

This paper cites Acfnet: Attentional class feature network for semantic segmentation,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Acfnet: Attentional class feature network for semantic segmentation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.196180Z

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Observation 6aa6929b-9809-46fb-a205-e56cc0de37bf · outbound

This paper cites Semantic labeling in very high resolution images via a self-cascaded convolutional neural network,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Semantic labeling in very high resolution images via a self-cascaded convolutional neural network,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.185738Z

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Observation 2efaf0be-521a-4423-94ba-10c548686bf9 · outbound

This paper cites Semantic segmentation of very-high-resolution remote sensing images via deep multi-feature learning,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Semantic segmentation of very-high-resolution remote sensing images via deep multi-feature learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.175541Z

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Observation 38929a1c-d254-4290-9548-883b6306835e · outbound

This paper cites A novel transformer based semantic segmentation scheme for fine-resolution remote sensing images,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images A novel transformer based semantic segmentation scheme for fine-resolution remote sensing images,

Reference 47

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Observation 9fa8d472-5002-472f-ba29-33e2f4fa1499 · outbound

This paper cites Dense semantic labeling of subdecimeter reso- lution images with convolutional neural networks,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Dense semantic labeling of subdecimeter reso- lution images with convolutional neural networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.157811Z

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Observation ce278533-3ed2-4837-87c8-b5d1ce136f44 · outbound

This paper cites Semantic segmentation of large- size vhr remote sensing images using a two-stage multiscale training architecture,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Semantic segmentation of large- size vhr remote sensing images using a two-stage multiscale training architecture,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.146126Z

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Observation 57292ced-72b9-44b9-a0cc-1345ce50d416 · outbound

This paper cites Problems of encoder-decoder frame- works for high-resolution remote sensing image segmentation: Structural stereotype and insufficient learning,.

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images Problems of encoder-decoder frame- works for high-resolution remote sensing image segmentation: Structural stereotype and insufficient learning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:44.134270Z

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