Task-Specific Zero-shot Quantization-Aware Training for Object Detection | Paper Citation Record

Observation 8d74f97b-7b9b-4174-a3f8-38752fb782a1 · outbound

This paper cites Object Detection in Autonomous Vehicles: Status and Open Challenges.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 1

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Observation aadb43c1-9ade-4760-a31b-f902c09f822f · outbound

This paper cites Lsq+: Improving low-bit quantization through learnable offsets and better initializa- tion.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Lsq+: Improving low-bit quantization through learnable offsets and better initializa- tion

Reference 2

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Observation 5f277268-7782-4b7b-b643-319649e48f85 · outbound

This paper cites Zeroq: A novel zero shot quantization framework.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Zeroq: A novel zero shot quantization framework

Reference 3

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Observation 90cd8a0b-e1da-4846-99d0-d5f398f8c1d3 · outbound

This paper cites Data-free knowledge distillation for object detec- tion.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Data-free knowledge distillation for object detec- tion

Reference 4

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Observation e5e98e06-f576-4142-9ef3-10bf8f8b9612 · outbound

This paper cites Adeq: Adaptive diversity enhancement for zero-shot quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Adeq: Adaptive diversity enhancement for zero-shot quantization

Reference 5

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Observation 66771c21-e5bc-4df0-9a2c-64040c7d2444 · outbound

This paper cites Texq: Zero-shot network quanti- zation with texture feature distribution calibration.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Texq: Zero-shot network quanti- zation with texture feature distribution calibration

Reference 6

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Observation 1c9d52e7-ee58-447d-8df0-34aad5844928 · outbound

This paper cites v2: A flexi- ble accelerator for emerging deep neural networks on mobile devices., 2019, 9.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection v2: A flexi- ble accelerator for emerging deep neural networks on mobile devices., 2019, 9

Reference 7

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Observation 4eab41e7-543d-4222-9390-979144426426 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 8

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Observation 7ab8fa96-6ed0-4f43-9763-323253153f93 · outbound

This paper cites Qimera: Data-free quantization with synthetic boundary supporting samples.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Qimera: Data-free quantization with synthetic boundary supporting samples

Reference 9

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Observation 0450d9c8-728d-4a11-ad67-de83eec4f393 · outbound

This paper cites MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity

Reference 10

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Observation 878f7b44-1f82-4f6a-b2e7-b268a07d4ae6 · outbound

This paper cites Model compression and hardware acceleration for neural networks: A comprehensive survey.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Model compression and hardware acceleration for neural networks: A comprehensive survey

Reference 11

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Observation f4e0fa68-b738-4362-aa4d-97e018836325 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Improved Regularization of Convolutional Neural Networks with Cutout

Reference 12

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Observation c9f9b799-e606-41d6-92f5-9b2ce40fda5d · outbound

This paper cites CBQ: Cross-Block Quantization for Large Language Models.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection CBQ: Cross-Block Quantization for Large Language Models

Reference 13

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Observation 78417c42-8f2e-44e7-a115-7dcb932bfe29 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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Observation dd440759-04de-4927-a98b-eb4bca742f94 · outbound

This paper cites Learned Step Size Quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Learned Step Size Quantization

Reference 15

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Observation e78de713-bd27-4a27-bf65-95be0b1fb8ca · outbound

This paper cites The pascal visual object classes (voc) challenge.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection The pascal visual object classes (voc) challenge

Reference 16

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Observation c667639f-7a5b-486d-a172-91bedec1e262 · outbound

This paper cites Qft: Post-training quantization via fast joint finetuning of all degrees of freedom.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Qft: Post-training quantization via fast joint finetuning of all degrees of freedom

Reference 17

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Observation 4080cfbd-4b17-4c45-92b2-6a432de8d308 · outbound

This paper cites Optimal brain compres- sion: A framework for accurate post-training quantization and pruning.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Optimal brain compres- sion: A framework for accurate post-training quantization and pruning

Reference 18

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Observation a788506d-dc82-49ae-b617-70e80b3c80f0 · outbound

This paper cites SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

Reference 19

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Observation 9ab4fae6-0dc1-4032-94c5-81db17136918 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 20

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Observation 23fc7a64-fbc5-4a5f-82ef-4abb29d30ff5 · outbound

This paper cites Mask r-cnn.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Mask r-cnn

Reference 21

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Observation 8f66d213-f67d-4856-99c0-e0fc61a1b82d · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Distilling the Knowledge in a Neural Network

Reference 22

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Observation 49d6541f-782f-4732-af7f-ef02baa221ae · outbound

This paper cites Ge- nie: show me the data for quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Ge- nie: show me the data for quantization

Reference 23

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Observation 3fe254a1-1669-495f-8314-1592e725d298 · outbound

This paper cites Ultralytics YOLO, 2023.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Ultralytics YOLO, 2023

Reference 24

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Observation 742a7854-8377-4da4-9ecd-4f692a074f88 · outbound

This paper cites Learning to quantize deep networks by op- timizing quantization intervals with task loss.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Learning to quantize deep networks by op- timizing quantization intervals with task loss

Reference 25

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Observation 83f9b9c6-77fc-4577-9cd4-041f76e324f0 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 27

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Observation d6afadce-e1f4-49ac-8efe-b10cd3eb1297 · outbound

This paper cites On information and sufficiency.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection On information and sufficiency

Reference 28

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Observation a3020ea0-fca5-40ae-a748-74e72a5bc060 · outbound

This paper cites Hard sample matters a lot in zero-shot quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Hard sample matters a lot in zero-shot quantization

Reference 29

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Observation 025d3bc7-1a65-4d64-900b-ad9e3230e6ee · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 30

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Observation dbde7ea4-379f-44fa-81d6-6c624c0612ad · outbound

This paper cites Patch similarity aware data-free quantization for vision transformers.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Patch similarity aware data-free quantization for vision transformers

Reference 31

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Observation c32d2777-ed6f-49a2-8e33-d1897385cfb3 · outbound

This paper cites Psaq-vit v2: Toward accurate and general data-free quanti- zation for vision transformers.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Psaq-vit v2: Toward accurate and general data-free quanti- zation for vision transformers

Reference 32

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Observation 54b82630-37a4-4b84-be6c-0a9a4c0d4f3c · outbound

This paper cites Microsoft coco: Common objects in context.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Microsoft coco: Common objects in context

Reference 33

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Observation 2f2c2650-7ad8-436e-963d-c11338e2cb9d · outbound

This paper cites Zero-shot adversarial quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Zero-shot adversarial quantization

Reference 34

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Observation 7173beab-cc35-4a13-8cec-19b2e005026f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 35

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Observation 0bc2076a-e274-4ef1-8e30-82b4eea3501b · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 36

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Observation bd355b64-3d23-4a4c-acdd-a521be056f13 · outbound

This paper cites Understanding deep image representations by inverting them.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Understanding deep image representations by inverting them

Reference 37

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Observation df3b3e2c-588b-4a00-9b7a-4747633868b1 · outbound

This paper cites 3d object detection for autonomous driving: A comprehensive survey.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection 3d object detection for autonomous driving: A comprehensive survey

Reference 38

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Observation 30b90f1e-b7d0-448a-a62c-4e05d4013c45 · outbound

This paper cites A study on video surveillance system for object detection and tracking.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection A study on video surveillance system for object detection and tracking

Reference 39

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Observation d76d9956-6915-4eed-af07-eba3b6f2b71f · outbound

This paper cites Data-free quantization through weight equal- ization and bias correction.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Data-free quantization through weight equal- ization and bias correction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:22.073299Z

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Observation dedbe5ae-5f89-4d09-bd62-fe2b358b99bc · outbound

This paper cites Data-free quantization through weight equal- ization and bias correction.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Data-free quantization through weight equal- ization and bias correction

Reference 41

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Observation 99eaa197-c3b5-4199-86c3-f3c7756b0e2d · outbound

This paper cites Up or down? adap- tive rounding for post-training quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Up or down? adap- tive rounding for post-training quantization

Reference 42

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Observation fa57f1f5-56cd-4cd4-ac21-605fc91c0d2d · outbound

This paper cites A White Paper on Neural Network Quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection A White Paper on Neural Network Quantization

Reference 44

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Observation abde14fe-7f28-436b-8cc2-51b2b6c9b1be · outbound

This paper cites Yolo v3: Visual and real-time ob- ject detection model for smart surveillance systems (3s).

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Yolo v3: Visual and real-time ob- ject detection model for smart surveillance systems (3s)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:22.043304Z

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Observation dcd952a1-471d-4af1-9cb8-14ef1568c756 · outbound

This paper cites Adaptive data-free quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Adaptive data-free quantization

Reference 46

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Observation 446ea95d-3be7-442e-b2c2-3d2c8c8244b9 · outbound

This paper cites Re- thinking data-free quantization as a zero-sum game.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Re- thinking data-free quantization as a zero-sum game

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:22.021528Z

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Observation 37b444a2-321d-4cdf-a1ef-cbcb91d8217a · outbound

This paper cites Clamp-vit: Contrastive data-free learning for adaptive post- training quantization of vits.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Clamp-vit: Contrastive data-free learning for adaptive post- training quantization of vits

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:22.010761Z

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Observation 2659614a-b3a3-49af-af1b-776ffa0a43e9 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection You only look once: Unified, real-time object de- tection

Reference 49

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Observation 815c9d34-6b5f-4c83-b176-ff4748d0b4ec · outbound

This paper cites Generative low-bitwidth data free quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Generative low-bitwidth data free quantization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.992635Z

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Observation ee73d802-73e8-4d67-a006-35360a66a70e · outbound

This paper cites Yolov5: A state-of-the-art real-time object de- tection system.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Yolov5: A state-of-the-art real-time object de- tection system

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.981968Z

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Observation 5cd1c408-e20e-4a17-8727-977cc2595a33 · outbound

This paper cites What makes a” good” data augmentation in knowledge distillation-a statistical perspective.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection What makes a” good” data augmentation in knowledge distillation-a statistical perspective

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.971157Z

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Observation 42340851-4780-4a8b-8f4f-4317bc677ecb · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 53

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Observation 91d5cd00-22aa-42e5-b1e4-bbac23476d87 · outbound

This paper cites Generative low- bitwidth data free quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Generative low- bitwidth data free quantization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.959381Z

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Observation d55e8303-644d-4f4f-a32a-306d256857ef · outbound

This paper cites Dreaming to distill: Data-free knowledge transfer via deep- inversion.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Dreaming to distill: Data-free knowledge transfer via deep- inversion

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.948736Z

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Observation c5dcec06-87a5-4fc8-bff6-3dec65deefd6 · outbound

This paper cites Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.937908Z

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Observation 55302ce9-995f-4e06-ac9d-68db45944b9b · outbound

This paper cites Spiq: Data-free per-channel static input quan- tization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Spiq: Data-free per-channel static input quan- tization

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.926385Z

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Observation 362a8fd1-f210-4266-a47c-6d6aec2561a8 · outbound

This paper cites Diversifying sample generation for accurate data-free quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Diversifying sample generation for accurate data-free quantization

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.914922Z

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Observation 21950171-5041-4617-8153-4875db7bb654 · outbound

This paper cites In- traq: Learning synthetic images with intra-class heterogene- ity for zero-shot network quantization.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection In- traq: Learning synthetic images with intra-class heterogene- ity for zero-shot network quantization

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.903717Z

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Observation 5bb8bc74-fbf8-4767-b6e3-971979f138e4 · outbound

This paper cites Additionally, BRECQ [30] implemented block-wise and stage-wise reconstruction techniques, striking a balance between layer-wise and network-wise approaches.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Additionally, BRECQ [30] implemented block-wise and stage-wise reconstruction techniques, striking a balance between layer-wise and network-wise approaches

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.892587Z

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Observation f05c2728-e1fd-48e0-aba1-7e64612de1a6 · outbound

This paper cites Despite their simplicity and minimal data requirements, PTQ methods often face challenges related to local optima due to the limited calibration set available for fine-tuning.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Despite their simplicity and minimal data requirements, PTQ methods often face challenges related to local optima due to the limited calibration set available for fine-tuning

Reference 61

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Observation c5733ee4-7351-4695-9f1a-debec3c4bb63 · outbound

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Task-Specific Zero-shot Quantization-Aware Training for Object Detection Unresolved cited work

Reference 62

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Observation d08bd2ca-7e35-400f-aa9c-917f53f8dc2d · outbound

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Task-Specific Zero-shot Quantization-Aware Training for Object Detection Unresolved cited work

Reference 63

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Observation cf338ecc-86db-41b2-8cc5-2f9fbef4483c · outbound

This paper cites an unresolved cited work.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Unresolved cited work

Reference 64

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Observation 63c96703-3136-4c46-b6fe-f954f64a1729 · outbound

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Task-Specific Zero-shot Quantization-Aware Training for Object Detection Unresolved cited work

Reference 65

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Observation 9e1c6cb5-4c2c-422b-8214-18e90844a156 · outbound

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Task-Specific Zero-shot Quantization-Aware Training for Object Detection Unresolved cited work

Reference 66

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Observation 624fde6c-e4b3-46ca-b64b-4d96ba85e179 · outbound

This paper cites Calibration Set Generation We apply Eq.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Calibration Set Generation We apply Eq

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T15:05:21.812163Z

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